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What's New in TensorFlow 2.0

You're reading from   What's New in TensorFlow 2.0 Use the new and improved features of TensorFlow to enhance machine learning and deep learning

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781838823856
Length 202 pages
Edition 1st Edition
Languages
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Authors (3):
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Tanish Baranwal Tanish Baranwal
Author Profile Icon Tanish Baranwal
Tanish Baranwal
Alizishaan Khatri Alizishaan Khatri
Author Profile Icon Alizishaan Khatri
Alizishaan Khatri
Ajay Baranwal Ajay Baranwal
Author Profile Icon Ajay Baranwal
Ajay Baranwal
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Table of Contents (13) Chapters Close

Preface 1. Section 1: TensorFlow 2.0 - Architecture and API Changes FREE CHAPTER
2. Getting Started with TensorFlow 2.0 3. Keras Default Integration and Eager Execution 4. Section 2: TensorFlow 2.0 - Data and Model Training Pipelines
5. Designing and Constructing Input Data Pipelines 6. Model Training and Use of TensorBoard 7. Section 3: TensorFlow 2.0 - Model Inference and Deployment and AIY
8. Model Inference Pipelines - Multi-platform Deployments 9. AIY Projects and TensorFlow Lite 10. Section 4: TensorFlow 2.0 - Migration, Summary
11. Migrating From TensorFlow 1.x to 2.0 12. Other Books You May Enjoy

New abstractions in TF 2.0

Abstractions are a very popular tool used in the process of programming and software development. In a very high-level sense, an abstraction refers to the process of isolating and describing the central idea of a particular task or set of tasks without necessarily specifying the physical, spatial, or temporal details. When done right, an abstraction can significantly reduce the amount of code that needs to be written for a particular task. It also boosts the reusability of existing code and makes it compatible with TF 2.0.

While working with machine learning systems, there are some common high-level tasks, such as training data, modeling, model evaluation, prediction, model storing, and model loading, that are common across a wide variety of tasks. An end programmer might also want to just modify one small component of the application while leaving the...

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